summary refs log tree commit diff
path: root/synapse/storage/stats.py
blob: cebe4cbc57b181b6e02fce365d869a83c1afa25a (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
# -*- coding: utf-8 -*-
# Copyright 2018, 2019 New Vector Ltd
# Copyright 2019 The Matrix.org Foundation C.I.C.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
from itertools import chain

from twisted.internet import defer

from synapse.storage.state_deltas import StateDeltasStore

logger = logging.getLogger(__name__)

# these fields track absolutes (e.g. total number of rooms on the server)
ABSOLUTE_STATS_FIELDS = {
    "room": (
        "current_state_events",
        "joined_members",
        "invited_members",
        "left_members",
        "banned_members",
        "total_events",
    ),
    "user": ("public_rooms", "private_rooms"),
}

# these fields are per-timeslice and so should be reset to 0 upon a new slice
PER_SLICE_FIELDS = {"room": (), "user": ()}

TYPE_TO_TABLE = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}


class OldCollectionRequired(Exception):
    """ Signal that we need to collect old stats rows and retry. """

    pass


class StatsStore(StateDeltasStore):
    def __init__(self, db_conn, hs):
        super(StatsStore, self).__init__(db_conn, hs)

        self.server_name = hs.hostname
        self.clock = self.hs.get_clock()
        self.stats_enabled = hs.config.stats_enabled
        self.stats_bucket_size = hs.config.stats_bucket_size

        self.register_noop_background_update("populate_stats_createtables")
        self.register_noop_background_update("populate_stats_process_rooms")
        self.register_noop_background_update("populate_stats_cleanup")

    def quantise_stats_time(self, ts):
        """
        Quantises a timestamp to be a multiple of the bucket size.

        Args:
            ts (int): the timestamp to quantise, in seconds since the Unix Epoch

        Returns:
            int: a timestamp which
              - is divisible by the bucket size;
              - is no later than `ts`; and
              - is the largest such timestamp.
        """
        return (ts // self.stats_bucket_size) * self.stats_bucket_size

    def update_room_state(self, room_id, fields):
        """
        Args:
            room_id (str)
            fields (dict[str:Any])
        """

        # For whatever reason some of the fields may contain null bytes, which
        # postgres isn't a fan of, so we replace those fields with null.
        for col in (
            "join_rules",
            "history_visibility",
            "encryption",
            "name",
            "topic",
            "avatar",
            "canonical_alias",
        ):
            field = fields.get(col)
            if field and "\0" in field:
                fields[col] = None

        return self._simple_upsert(
            table="room_state",
            keyvalues={"room_id": room_id},
            values=fields,
            desc="update_room_state",
        )

    @defer.inlineCallbacks
    def update_stats_delta(
        self, ts, stats_type, stats_id, fields, complete_with_stream_id=None
    ):
        """
        Updates the statistics for a subject, with a delta (difference/relative
        change).

        Args:
            ts (int): timestamp of the change
            stats_type (str): "room" or "user" – the kind of subject
            stats_id (str): the subject's ID (room ID or user ID)
            fields (dict[str, int]): Deltas of stats values.
            complete_with_stream_id (int, optional):
                If supplied, converts an incomplete row into a complete row,
                with the supplied stream_id marked as the stream_id where the
                row was completed.
        """

        while True:
            try:
                res = yield self.runInteraction(
                    "update_stats_delta",
                    self._update_stats_delta_txn,
                    ts,
                    stats_type,
                    stats_id,
                    fields,
                    complete_with_stream_id=complete_with_stream_id,
                )
                return res
            except OldCollectionRequired:
                # retry after collecting old rows
                # TODO (implement later)
                raise NotImplementedError("old collection not in this PR")

    def _update_stats_delta_txn(
        self,
        txn,
        ts,
        stats_type,
        stats_id,
        fields,
        complete_with_stream_id=None,
        absolute_fields=None,
    ):
        """
        See L{update_stats_delta}
        Additional Args:
            absolute_fields (dict[str, int]): Absolute stats values (i.e. not deltas).
        """
        table, id_col = TYPE_TO_TABLE[stats_type]

        quantised_ts = self.quantise_stats_time(int(ts))
        end_ts = quantised_ts + self.stats_bucket_size

        for field in chain(fields.keys(), absolute_fields.keys()):
            if (
                field not in ABSOLUTE_STATS_FIELDS[stats_type]
                and field not in PER_SLICE_FIELDS[stats_type]
            ):
                # guard against potential SQL injection dodginess
                raise ValueError(
                    "%s is not a recognised field"
                    " for stats type %s" % (field, stats_type)
                )

        field_sqls = ["%s = %s + ?" % (field, field) for field in fields.keys()]
        field_values = list(fields.values())

        if absolute_fields is not None:
            field_sqls += ["%s = ?" % (field,) for field in absolute_fields.keys()]
            field_values += list(absolute_fields.values())

        if complete_with_stream_id is not None:
            field_sqls.append("completed_delta_stream_id = ?")
            field_values.append(complete_with_stream_id)

        # update current row, but only if it is either:
        # - dirty and complete but not old
        #       If it is old, we should old-collect it first and retry.
        # - dirty and incomplete
        #       Incomplete rows can't be old-collected (as this would commit
        #       false statistics into the _historical table).
        #       Instead, their `end_ts` is extended, whilst we wait for them to
        #       become complete at the hand of the stats regenerator.
        sql = (
            "UPDATE %s_current SET end_ts = ?, %s"
            " WHERE (end_ts IS NOT NULL AND (end_ts >= ? OR completed_delta_stream_id IS NULL))"
            " AND %s = ?"
        ) % (table, ", ".join(field_sqls), id_col)

        qargs = [end_ts] + list(field_values) + [end_ts, stats_id]

        txn.execute(sql, qargs)

        if txn.rowcount > 0:
            # success.
            return

        # if we're here, it's because we didn't succeed in updating a stats
        # row. Why? Let's find out…

        current_row = self._simple_select_one_txn(
            txn,
            table + "_current",
            {id_col: stats_id},
            ("end_ts", "completed_delta_stream_id"),
            allow_none=True,
        )

        if current_row is None:
            # Failure reason: There is no row.
            # Solution:
            # we need to insert a row! (insert a dirty, incomplete row)
            insertee = {
                id_col: stats_id,
                "end_ts": end_ts,
                "start_ts": ts,
                "completed_delta_stream_id": complete_with_stream_id,
            }

            # we assume that, by default, blank fields should be zero.
            for field_name in ABSOLUTE_STATS_FIELDS[stats_type]:
                insertee[field_name] = 0

            for field_name in PER_SLICE_FIELDS[stats_type]:
                insertee[field_name] = 0

            for (field, value) in fields.items():
                insertee[field] = value

            if absolute_fields is not None:
                for (field, value) in absolute_fields.items():
                    insertee[field] = value

            self._simple_insert_txn(txn, table + "_current", insertee)

        elif current_row["end_ts"] is None:
            # Failure reason: The row is not dirty.
            # Solution:
            # update the row, including `start_ts`, to make it dirty.
            sql = (
                "UPDATE %s_current SET start_ts = ?, end_ts = ?, %s"
                " WHERE end_ts IS NULL AND %s = ?"
            ) % (table, ", ".join(field_sqls), id_col)

            qargs = (
                [end_ts - self.stats_bucket_size, end_ts]
                + list(field_values)
                + [stats_id]
            )

            txn.execute(sql, qargs)
            if txn.rowcount == 0:
                raise RuntimeError(
                    "Should be impossible: No rows updated"
                    " but all conditions are known to be met."
                )

        elif current_row["end_ts"] < end_ts:
            # Failure reason: The row is complete and old.
            # Solution: We need to perform old collection first
            raise OldCollectionRequired()